Modeling And Control For Hot Rolling Strip Laminar Cooling Temperature

The laminar cooling process is very important for the iron-making industry,since it plays an important role in the hot rolled process and influents the physical properties of the steel.However, because of its non-linearity, multi-coupling and multivariate parameters, the accuracy of the temperature of the steel plate in the cooling process is hard to improve.Nowadays, higher requirements have been posed for the property of steel plates in the many fields, so a new kind of control method with high accuracy is needed. It includes:A dynamic model of the laminar cooling process is built.This model takes advantage of the finite element analysis thought combine with physical equations of the heat release to set up a series of diffierential equations.First, the plate was divided into several segements along the thickness direction,as same as the cooling area. A novel model based on TS fuzzy model is proposed to describe the water cooling heat transfer coefficient.Based on the analysis of the cooling process of laminar flow, it is found that the process of water cooling heat dissipation is not only controllable, but also plays a predominating role in the whole cooling process.Therefore, we establish a TS fuzzy model of water cooling heat transfer coefficient to improve the mechanism of cooling system. The novelty method enables the intelligent model to monitor the process of a laminar flow cooling process rapidly, and provide it self-study ability and highly accurate results.The PID control method combined with other control strategy is introduced to control the temperature well. Many factors are analyzed to get a conclusion that the product of the thickness and the velocity play an important role in the cooling process. The PID controller is used to control the first part and the second part of the cooling area.The speed compensation controller and the feedforward controller is designed to eliminate the input wave.The numeric results show that the accuracy of the final temperature can be greatly improved. Propose a control strategy by combine the generalized predictive control with the PID control. It can control the temperature curve of the whole cooling process.First, the basic principle of the generalized predictive control is analyzed.Then the PID control with predictive ability is proposed. Change the physical model into linear model and apply the GPC-PID control method on the model to get the PID control parameters.The intelligent control and simulation platform is designed. This platform is built by using dSpace system, it can be programmed only by MATLAB language and change into C language automatically. A PLC controller is used as a controller to control the dSpace system in which a laminar cooling model is running. The platform can be a intelligent controller as well as an emulator. It provide a method to equip the production line with matrix processing ability without large-scale reconstruction.The laminar cooling control software is made by the result to make it useful for the engineer.